IIP1 Luzern Umzuege Profiling Report

Dataset statistics

Number of variables	31
Number of observations	41101
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	9.7 MiB
Average record size in memory	248.0 B

Variable types

Categorical	17
Numeric	14

Alerts

`gdename_anfang` has a high cardinality: 873 distinct values	High cardinality
`gdename_ende` has a high cardinality: 743 distinct values	High cardinality
`hectarcoords_anfang` has a high cardinality: 8146 distinct values	High cardinality
`hectarcoords_ende` has a high cardinality: 6823 distinct values	High cardinality
`sex_anfang` is highly correlated with `sex_end`	High correlation
`sex_end` is highly correlated with `sex_anfang`	High correlation
`maritalstatus_anfang` is highly correlated with `maritalstatus_ende` and 2 other fields	High correlation
`maritalstatus_ende` is highly correlated with `maritalstatus_anfang` and 2 other fields	High correlation
`agegroup_anfang` is highly correlated with `maritalstatus_anfang` and 2 other fields	High correlation
`agegroup_ende` is highly correlated with `maritalstatus_anfang` and 2 other fields	High correlation
`gdektnr_anfang` is highly correlated with `umzugsdist` and 2 other fields	High correlation
`gdektnr_ende` is highly correlated with `umzugsdist` and 2 other fields	High correlation
`gdenr_anfang` is highly correlated with `umzugsdist` and 2 other fields	High correlation
`gdenr_ende` is highly correlated with `umzugsdist` and 2 other fields	High correlation
`umzugsdist` is highly correlated with `gdekt_anfang` and 5 other fields	High correlation
`wazimsgroup_ende` is highly correlated with `gkats_ende` and 1 other fields	High correlation
`wazimsgroup_anfang` is highly correlated with `gkats_anfang` and 1 other fields	High correlation
`wareasgroup_anfang` is highly correlated with `wazimsgroup_anfang`	High correlation
`wareasgroup_ende` is highly correlated with `wazimsgroup_ende`	High correlation
`nationalitygroup_ende` is highly correlated with `nationalitygroup_anfang`	High correlation
`nationalitygroup_anfang` is highly correlated with `nationalitygroup_ende`	High correlation
`gdekt_anfang` is highly correlated with `umzugsdist` and 2 other fields	High correlation
`gdekt_ende` is highly correlated with `umzugsdist` and 2 other fields	High correlation
`gkats_anfang` is highly correlated with `wazimsgroup_anfang`	High correlation
`gkats_ende` is highly correlated with `wazimsgroup_ende`	High correlation
`agegroup_anfang` has 607 (1.5%) zeros	Zeros

Reproduction

Analysis started	2022-09-29 07:25:52.825853
Analysis finished	2022-09-29 07:26:19.671890
Duration	26.85 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

rjhr
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

2019	13943
2020	13690
2018	13468

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	164404
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018
2nd row	2018
3rd row	2018
4th row	2018
5th row	2018

Common Values

Value	Count	Frequency (%)
2019	13943	33.9%
2020	13690	33.3%
2018	13468	32.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2019	13943	33.9%
2020	13690	33.3%
2018	13468	32.8%

Most occurring characters

Value	Count	Frequency (%)
2	54791	33.3%
0	54791	33.3%
1	27411	16.7%
9	13943	8.5%
8	13468	8.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164404	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	54791	33.3%
0	54791	33.3%
1	27411	16.7%
9	13943	8.5%
8	13468	8.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	164404	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	54791	33.3%
0	54791	33.3%
1	27411	16.7%
9	13943	8.5%
8	13468	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164404	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	54791	33.3%
0	54791	33.3%
1	27411	16.7%
9	13943	8.5%
8	13468	8.2%

persnr
Real number (ℝ_≥0)

Distinct	41041
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4189239.995

Minimum	506
Maximum	8409279
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	506
5-th percentile	428154
Q1	2111300
median	4191746
Q3	6284656
95-th percentile	7932119
Maximum	8409279
Range	8408773
Interquartile range (IQR)	4173356

Descriptive statistics

Standard deviation	2410166.174
Coefficient of variation (CV)	0.5753230124
Kurtosis	-1.200926012
Mean	4189239.995
Median Absolute Deviation (MAD)	2086690
Skewness	-0.005391909919
Sum	1.721819531 × 10¹¹
Variance	5.808900986 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
489568	2	< 0.1%
1128252	2	< 0.1%
4196396	2	< 0.1%
7715797	2	< 0.1%
5639003	2	< 0.1%
4503680	2	< 0.1%
828295	2	< 0.1%
8049186	2	< 0.1%
4860988	2	< 0.1%
2728068	2	< 0.1%
Other values (41031)	41081	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
506	1	< 0.1%
598	1	< 0.1%
751	1	< 0.1%
999	1	< 0.1%
1002	1	< 0.1%
1045	1	< 0.1%
1113	1	< 0.1%
1162	1	< 0.1%
1194	1	< 0.1%
2930	1	< 0.1%

Value	Count	Frequency (%)
8409279	1	< 0.1%
8408524	1	< 0.1%
8406910	1	< 0.1%
8405363	1	< 0.1%
8404389	1	< 0.1%
8403588	1	< 0.1%
8403560	1	< 0.1%
8402919	1	< 0.1%
8402766	1	< 0.1%
8402411	1	< 0.1%

umzugsdist
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16584
Distinct (%)	40.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15278.53429

Minimum	0
Maximum	196384
Zeros	123
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	0
5-th percentile	159
Q1	1344
median	3739
Q3	18742
95-th percentile	70138
Maximum	196384
Range	196384
Interquartile range (IQR)	17398

Descriptive statistics

Standard deviation	24980.57866
Coefficient of variation (CV)	1.63501146
Kurtosis	9.020624462
Mean	15278.53429
Median Absolute Deviation (MAD)	3266
Skewness	2.711790216
Sum	627963038
Variance	624029310.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	123	0.3%
43	43	0.1%
56	37	0.1%
58	34	0.1%
35	33	0.1%
103	31	0.1%
139	31	0.1%
17	29	0.1%
33	29	0.1%
61	28	0.1%
Other values (16574)	40683	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	123	0.3%
2	4	< 0.1%
6	1	< 0.1%
9	8	< 0.1%
10	1	< 0.1%
11	3	< 0.1%
12	8	< 0.1%
13	4	< 0.1%
14	2	< 0.1%
15	15	< 0.1%

Value	Count	Frequency (%)
196384	1	< 0.1%
195249	1	< 0.1%
195104	2	< 0.1%
194714	3	< 0.1%
194298	1	< 0.1%
193322	1	< 0.1%
193214	2	< 0.1%
193147	1	< 0.1%
193120	2	< 0.1%
193047	1	< 0.1%

sex_anfang
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

2	20761
1	20340

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	41101
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	20761	50.5%
1	20340	49.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	20761	50.5%
1	20340	49.5%

Most occurring characters

Value	Count	Frequency (%)
2	20761	50.5%
1	20340	49.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41101	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	20761	50.5%
1	20340	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	41101	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	20761	50.5%
1	20340	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41101	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	20761	50.5%
1	20340	49.5%

sex_end
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

2	20763
1	20338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	41101
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	20763	50.5%
1	20338	49.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	20763	50.5%
1	20338	49.5%

Most occurring characters

Value	Count	Frequency (%)
2	20763	50.5%
1	20338	49.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41101	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	20763	50.5%
1	20338	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	41101	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	20763	50.5%
1	20338	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41101	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	20763	50.5%
1	20338	49.5%

maritalstatus_anfang
Real number (ℝ)

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.458942605

Minimum	-9
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	3
Negative (%)	< 0.1%
Memory size	321.2 KiB

Quantile statistics

Minimum	-9
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	7
Range	16
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8577394276
Coefficient of variation (CV)	0.5879185547
Kurtosis	6.771299167
Mean	1.458942605
Median Absolute Deviation (MAD)	0
Skewness	2.098067328
Sum	59964
Variance	0.7357169257
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	28529	69.4%
2	9316	22.7%
4	2648	6.4%
3	469	1.1%
6	115	0.3%
7	18	< 0.1%
-9	3	< 0.1%
5	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-9	3	< 0.1%
1	28529	69.4%
2	9316	22.7%
3	469	1.1%
4	2648	6.4%
5	3	< 0.1%
6	115	0.3%
7	18	< 0.1%

Value	Count	Frequency (%)
7	18	< 0.1%
6	115	0.3%
5	3	< 0.1%
4	2648	6.4%
3	469	1.1%
2	9316	22.7%
1	28529	69.4%
-9	3	< 0.1%

maritalstatus_ende
Real number (ℝ)

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.496362619

Minimum	-9
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	1
Negative (%)	< 0.1%
Memory size	321.2 KiB

Quantile statistics

Minimum	-9
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	7
Range	16
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8857716365
Coefficient of variation (CV)	0.5919498558
Kurtosis	5.087653243
Mean	1.496362619
Median Absolute Deviation (MAD)	0
Skewness	2.091130442
Sum	61502
Variance	0.784591392
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	27713	67.4%
2	9768	23.8%
4	2953	7.2%
3	523	1.3%
6	112	0.3%
7	27	0.1%
5	4	< 0.1%
-9	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-9	1	< 0.1%
1	27713	67.4%
2	9768	23.8%
3	523	1.3%
4	2953	7.2%
5	4	< 0.1%
6	112	0.3%
7	27	0.1%

Value	Count	Frequency (%)
7	27	0.1%
6	112	0.3%
5	4	< 0.1%
4	2953	7.2%
3	523	1.3%
2	9768	23.8%
1	27713	67.4%
-9	1	< 0.1%

agegroup_anfang
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.08374492

Minimum	0
Maximum	95
Zeros	607
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	20
median	30
Q3	35
95-th percentile	60
Maximum	95
Range	95
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	15.60617177
Coefficient of variation (CV)	0.5187576152
Kurtosis	0.9730733099
Mean	30.08374492
Median Absolute Deviation (MAD)	10
Skewness	0.6939285214
Sum	1236472
Variance	243.5525973
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
25	9162	22.3%
30	6980	17.0%
20	5225	12.7%
35	4316	10.5%
40	2309	5.6%
45	1765	4.3%
50	1631	4.0%
15	1395	3.4%
55	1269	3.1%
60	898	2.2%
Other values (18)	6151	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	607	1.5%
1	641	1.6%
2	459	1.1%
3	406	1.0%
4	310	0.8%
5	296	0.7%
6	226	0.5%
7	222	0.5%
8	200	0.5%
9	190	0.5%

Value	Count	Frequency (%)
95	3	< 0.1%
90	17	< 0.1%
85	123	0.3%
80	194	0.5%
75	271	0.7%
70	482	1.2%
65	653	1.6%
60	898	2.2%
55	1269	3.1%
50	1631	4.0%

agegroup_ende
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.09508284

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	25
median	30
Q3	40
95-th percentile	60
Maximum	100
Range	99
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	15.60957846
Coefficient of variation (CV)	0.5019950754
Kurtosis	0.9756884897
Mean	31.09508284
Median Absolute Deviation (MAD)	5
Skewness	0.6892595266
Sum	1278039
Variance	243.6589396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
25	8887	21.6%
30	7588	18.5%
35	4880	11.9%
20	4131	10.1%
40	2624	6.4%
45	1776	4.3%
50	1678	4.1%
55	1357	3.3%
15	1088	2.6%
60	935	2.3%
Other values (18)	6157	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	607	1.5%
2	641	1.6%
3	459	1.1%
4	406	1.0%
5	310	0.8%
6	296	0.7%
7	226	0.5%
8	222	0.5%
9	200	0.5%
10	877	2.1%

Value	Count	Frequency (%)
100	1	< 0.1%
95	5	< 0.1%
90	27	0.1%
85	141	0.3%
80	208	0.5%
75	304	0.7%
70	528	1.3%
65	699	1.7%
60	935	2.3%
55	1357	3.3%

nationalitygroup_anfang
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

Switzerland	29422
Other	3987
Central Europe	3619
Southern Europe	2166
Southeastern Europe	1010
Other values (3)	897

Length

Max length	19
Median length	11
Mean length	11.15924187
Min length	5

Characters and Unicode

Total characters	458656
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Switzerland
2nd row	Switzerland
3rd row	Switzerland
4th row	Switzerland
5th row	Central Europe

Common Values

Value	Count	Frequency (%)
Switzerland	29422	71.6%
Other	3987	9.7%
Central Europe	3619	8.8%
Southern Europe	2166	5.3%
Southeastern Europe	1010	2.5%
Western Europe	590	1.4%
Northern Europe	175	0.4%
Eastern Europe	132	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
switzerland	29422	60.3%
europe	7692	15.8%
other	3987	8.2%
central	3619	7.4%
southern	2166	4.4%
southeastern	1010	2.1%
western	590	1.2%
northern	175	0.4%
eastern	132	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	50393	11.0%
r	48968	10.7%
t	42111	9.2%
n	37114	8.1%
a	34183	7.5%
l	33041	7.2%
S	32598	7.1%
z	29422	6.4%
i	29422	6.4%
d	29422	6.4%
Other values (12)	91982	20.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	402171	87.7%
Uppercase Letter	48793	10.6%
Space Separator	7692	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	50393	12.5%
r	48968	12.2%
t	42111	10.5%
n	37114	9.2%
a	34183	8.5%
l	33041	8.2%
z	29422	7.3%
i	29422	7.3%
d	29422	7.3%
w	29422	7.3%
Other values (5)	38673	9.6%

Uppercase Letter

Value	Count	Frequency (%)
S	32598	66.8%
E	7824	16.0%
O	3987	8.2%
C	3619	7.4%
W	590	1.2%
N	175	0.4%

Space Separator

Value	Count	Frequency (%)
	7692	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	450964	98.3%
Common	7692	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	50393	11.2%
r	48968	10.9%
t	42111	9.3%
n	37114	8.2%
a	34183	7.6%
l	33041	7.3%
S	32598	7.2%
z	29422	6.5%
i	29422	6.5%
d	29422	6.5%
Other values (11)	84290	18.7%

Common

Value	Count	Frequency (%)
	7692	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	458656	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	50393	11.0%
r	48968	10.7%
t	42111	9.2%
n	37114	8.1%
a	34183	7.5%
l	33041	7.2%
S	32598	7.1%
z	29422	6.4%
i	29422	6.4%
d	29422	6.4%
Other values (12)	91982	20.1%

nationalitygroup_ende
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

Switzerland	29628
Other	3874
Central Europe	3586
Southern Europe	2138
Southeastern Europe	979
Other values (3)	896

Length

Max length	19
Median length	11
Mean length	11.16452154
Min length	5

Characters and Unicode

Total characters	458873
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Switzerland
2nd row	Switzerland
3rd row	Switzerland
4th row	Switzerland
5th row	Central Europe

Common Values

Value	Count	Frequency (%)
Switzerland	29628	72.1%
Other	3874	9.4%
Central Europe	3586	8.7%
Southern Europe	2138	5.2%
Southeastern Europe	979	2.4%
Western Europe	592	1.4%
Northern Europe	176	0.4%
Eastern Europe	128	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
switzerland	29628	60.8%
europe	7599	15.6%
other	3874	8.0%
central	3586	7.4%
southern	2138	4.4%
southeastern	979	2.0%
western	592	1.2%
northern	176	0.4%
eastern	128	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	50271	11.0%
r	48876	10.7%
t	42080	9.2%
n	37227	8.1%
a	34321	7.5%
l	33214	7.2%
S	32745	7.1%
z	29628	6.5%
i	29628	6.5%
d	29628	6.5%
Other values (12)	91255	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	402574	87.7%
Uppercase Letter	48700	10.6%
Space Separator	7599	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	50271	12.5%
r	48876	12.1%
t	42080	10.5%
n	37227	9.2%
a	34321	8.5%
l	33214	8.3%
z	29628	7.4%
i	29628	7.4%
d	29628	7.4%
w	29628	7.4%
Other values (5)	38073	9.5%

Uppercase Letter

Value	Count	Frequency (%)
S	32745	67.2%
E	7727	15.9%
O	3874	8.0%
C	3586	7.4%
W	592	1.2%
N	176	0.4%

Space Separator

Value	Count	Frequency (%)
	7599	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	451274	98.3%
Common	7599	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	50271	11.1%
r	48876	10.8%
t	42080	9.3%
n	37227	8.2%
a	34321	7.6%
l	33214	7.4%
S	32745	7.3%
z	29628	6.6%
i	29628	6.6%
d	29628	6.6%
Other values (11)	83656	18.5%

Common

Value	Count	Frequency (%)
	7599	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	458873	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	50271	11.0%
r	48876	10.7%
t	42080	9.2%
n	37227	8.1%
a	34321	7.5%
l	33214	7.2%
S	32745	7.1%
z	29628	6.5%
i	29628	6.5%
d	29628	6.5%
Other values (12)	91255	19.9%

gdekt_anfang
Categorical

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

LU	35816
ZH	1034
AG	645
BE	527
NW	460
Other values (21)	2619

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	82202
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LU
2nd row	LU
3rd row	LU
4th row	LU
5th row	LU

Common Values

Value	Count	Frequency (%)
LU	35816	87.1%
ZH	1034	2.5%
AG	645	1.6%
BE	527	1.3%
NW	460	1.1%
ZG	438	1.1%
OW	346	0.8%
SZ	330	0.8%
SG	217	0.5%
SO	192	0.5%
Other values (16)	1096	2.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lu	35816	87.1%
zh	1034	2.5%
ag	645	1.6%
be	527	1.3%
nw	460	1.1%
zg	438	1.1%
ow	346	0.8%
sz	330	0.8%
sg	217	0.5%
so	192	0.5%
Other values (16)	1096	2.7%

Most occurring characters

Value	Count	Frequency (%)
L	35953	43.7%
U	35929	43.7%
Z	1802	2.2%
G	1587	1.9%
H	1063	1.3%
S	1009	1.2%
W	806	1.0%
B	789	1.0%
A	671	0.8%
E	573	0.7%
Other values (9)	2020	2.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	82202	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	35953	43.7%
U	35929	43.7%
Z	1802	2.2%
G	1587	1.9%
H	1063	1.3%
S	1009	1.2%
W	806	1.0%
B	789	1.0%
A	671	0.8%
E	573	0.7%
Other values (9)	2020	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	82202	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	35953	43.7%
U	35929	43.7%
Z	1802	2.2%
G	1587	1.9%
H	1063	1.3%
S	1009	1.2%
W	806	1.0%
B	789	1.0%
A	671	0.8%
E	573	0.7%
Other values (9)	2020	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82202	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
L	35953	43.7%
U	35929	43.7%
Z	1802	2.2%
G	1587	1.9%
H	1063	1.3%
S	1009	1.2%
W	806	1.0%
B	789	1.0%
A	671	0.8%
E	573	0.7%
Other values (9)	2020	2.5%

gdekt_ende
Categorical

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

LU	36189
ZH	1402
AG	538
BE	499
ZG	425
Other values (21)	2048

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	82202
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LU
2nd row	LU
3rd row	LU
4th row	LU
5th row	LU

Common Values

Value	Count	Frequency (%)
LU	36189	88.0%
ZH	1402	3.4%
AG	538	1.3%
BE	499	1.2%
ZG	425	1.0%
NW	399	1.0%
SZ	337	0.8%
OW	261	0.6%
BS	199	0.5%
SO	125	0.3%
Other values (16)	727	1.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lu	36189	88.0%
zh	1402	3.4%
ag	538	1.3%
be	499	1.2%
zg	425	1.0%
nw	399	1.0%
sz	337	0.8%
ow	261	0.6%
bs	199	0.5%
so	125	0.3%
Other values (16)	727	1.8%

Most occurring characters

Value	Count	Frequency (%)
L	36292	44.1%
U	36262	44.1%
Z	2164	2.6%
H	1419	1.7%
G	1270	1.5%
S	821	1.0%
B	789	1.0%
W	660	0.8%
A	552	0.7%
E	520	0.6%
Other values (9)	1453	1.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	82202	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	36292	44.1%
U	36262	44.1%
Z	2164	2.6%
H	1419	1.7%
G	1270	1.5%
S	821	1.0%
B	789	1.0%
W	660	0.8%
A	552	0.7%
E	520	0.6%
Other values (9)	1453	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	82202	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	36292	44.1%
U	36262	44.1%
Z	2164	2.6%
H	1419	1.7%
G	1270	1.5%
S	821	1.0%
B	789	1.0%
W	660	0.8%
A	552	0.7%
E	520	0.6%
Other values (9)	1453	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82202	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
L	36292	44.1%
U	36262	44.1%
Z	2164	2.6%
H	1419	1.7%
G	1270	1.5%
S	821	1.0%
B	789	1.0%
W	660	0.8%
A	552	0.7%
E	520	0.6%
Other values (9)	1453	1.8%

gdektnr_anfang
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.794311574

Minimum	1
Maximum	26
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3
median	3
Q3	3
95-th percentile	9
Maximum	26
Range	25
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.305753703
Coefficient of variation (CV)	0.8712393904
Kurtosis	17.09921992
Mean	3.794311574
Median Absolute Deviation (MAD)	0
Skewness	4.153387168
Sum	155950
Variance	10.92800754
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
3	35816	87.1%
1	1034	2.5%
19	645	1.6%
2	527	1.3%
7	460	1.1%
9	438	1.1%
6	346	0.8%
5	330	0.8%
17	217	0.5%
11	192	0.5%
Other values (16)	1096	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1034	2.5%
2	527	1.3%
3	35816	87.1%
4	107	0.3%
5	330	0.8%
6	346	0.8%
7	460	1.1%
8	23	0.1%
9	438	1.1%
10	69	0.2%

Value	Count	Frequency (%)
26	6	< 0.1%
25	34	0.1%
24	12	< 0.1%
23	93	0.2%
22	79	0.2%
21	126	0.3%
20	76	0.2%
19	645	1.6%
18	154	0.4%
17	217	0.5%

gdektnr_ende
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.57456023

Minimum	1
Maximum	26
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3
median	3
Q3	3
95-th percentile	7
Maximum	26
Range	25
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.865605927
Coefficient of variation (CV)	0.8016667066
Kurtosis	23.16191557
Mean	3.57456023
Median Absolute Deviation (MAD)	0
Skewness	4.739147296
Sum	146918
Variance	8.211697328
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
3	36189	88.0%
1	1402	3.4%
19	538	1.3%
2	499	1.2%
9	425	1.0%
7	399	1.0%
5	337	0.8%
6	261	0.6%
12	199	0.5%
11	125	0.3%
Other values (16)	727	1.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1402	3.4%
2	499	1.2%
3	36189	88.0%
4	71	0.2%
5	337	0.8%
6	261	0.6%
7	399	1.0%
8	12	< 0.1%
9	425	1.0%
10	27	0.1%

Value	Count	Frequency (%)
26	2	< 0.1%
25	13	< 0.1%
24	8	< 0.1%
23	43	0.1%
22	77	0.2%
21	70	0.2%
20	58	0.1%
19	538	1.3%
18	124	0.3%
17	100	0.2%

gdenr_anfang
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	874
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1189.072334

Minimum	1
Maximum	6711
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1024
Q1	1061
median	1061
Q3	1061
95-th percentile	1711
Maximum	6711
Range	6710
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	686.6994676
Coefficient of variation (CV)	0.5775085737
Kurtosis	23.77067775
Mean	1189.072334
Median Absolute Deviation (MAD)	0
Skewness	4.551282947
Sum	48872062
Variance	471556.1588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1061	28736	69.9%
1024	1138	2.8%
1059	1105	2.7%
1058	546	1.3%
261	459	1.1%
1054	438	1.1%
1063	240	0.6%
1051	207	0.5%
1062	204	0.5%
1103	194	0.5%
Other values (864)	7834	19.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	30	0.1%
3	2	< 0.1%
4	5	< 0.1%
5	4	< 0.1%
6	1	< 0.1%
7	7	< 0.1%
9	8	< 0.1%
10	8	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
6711	2	< 0.1%
6708	4	< 0.1%
6634	1	< 0.1%
6633	2	< 0.1%
6631	6	< 0.1%
6628	1	< 0.1%
6623	2	< 0.1%
6621	19	< 0.1%
6617	1	< 0.1%
6614	1	< 0.1%

gdenr_ende
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	744
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1141.95713

Minimum	1
Maximum	6711
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1023
Q1	1061
median	1061
Q3	1061
95-th percentile	1509
Maximum	6711
Range	6710
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	592.5876274
Coefficient of variation (CV)	0.5189228316
Kurtosis	29.34013863
Mean	1141.95713
Median Absolute Deviation (MAD)	0
Skewness	4.895028969
Sum	46935580
Variance	351160.0962
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1061	28050	68.2%
1059	1780	4.3%
1024	1424	3.5%
1058	753	1.8%
261	742	1.8%
1054	676	1.6%
1063	427	1.0%
1051	298	0.7%
1040	223	0.5%
1062	207	0.5%
Other values (734)	6521	15.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	31	0.1%
3	4	< 0.1%
4	1	< 0.1%
5	5	< 0.1%
6	1	< 0.1%
7	3	< 0.1%
8	1	< 0.1%
9	8	< 0.1%
10	9	< 0.1%

Value	Count	Frequency (%)
6711	2	< 0.1%
6630	1	< 0.1%
6623	1	< 0.1%
6621	6	< 0.1%
6617	3	< 0.1%
6616	1	< 0.1%
6605	1	< 0.1%
6459	1	< 0.1%
6458	5	< 0.1%
6421	1	< 0.1%

gdename_anfang
Categorical

HIGH CARDINALITY

Distinct	873
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

Luzern	28736
Emmen	1138
Kriens	1105
Horw	546
Zürich	459
Other values (868)	9117

Length

Max length	26
Median length	6
Mean length	6.435123233
Min length	3

Characters and Unicode

Total characters	264490
Distinct characters	63
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	295 ?
Unique (%)	0.7%

Sample

1st row	Luzern
2nd row	Luzern
3rd row	Luzern
4th row	Luzern
5th row	Luzern

Common Values

Value	Count	Frequency (%)
Luzern	28736	69.9%
Emmen	1138	2.8%
Kriens	1105	2.7%
Horw	546	1.3%
Zürich	459	1.1%
Ebikon	438	1.1%
Meggen	240	0.6%
Adligenswil	207	0.5%
Malters	204	0.5%
Sursee	194	0.5%
Other values (863)	7834	19.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
luzern	28736	68.2%
emmen	1138	2.7%
kriens	1105	2.6%
horw	546	1.3%
zürich	459	1.1%
ebikon	438	1.0%
meggen	240	0.6%
adligenswil	207	0.5%
malters	204	0.5%
sursee	194	0.5%
Other values (874)	8887	21.1%

Most occurring characters

Value	Count	Frequency (%)
e	38826	14.7%
n	37694	14.3%
r	35330	13.4%
u	31075	11.7%
z	29343	11.1%
L	29133	11.0%
i	6701	2.5%
s	4861	1.8%
l	4035	1.5%
h	3744	1.4%
Other values (53)	43748	16.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	218819	82.7%
Uppercase Letter	42929	16.2%
Space Separator	1053	0.4%
Open Punctuation	705	0.3%
Close Punctuation	705	0.3%
Dash Punctuation	160	0.1%
Other Punctuation	119	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	38826	17.7%
n	37694	17.2%
r	35330	16.1%
u	31075	14.2%
z	29343	13.4%
i	6701	3.1%
s	4861	2.2%
l	4035	1.8%
h	3744	1.7%
a	3683	1.7%
Other values (22)	23527	10.8%

Uppercase Letter

Value	Count	Frequency (%)
L	29133	67.9%
E	2005	4.7%
S	1451	3.4%
K	1410	3.3%
H	1201	2.8%
B	1175	2.7%
R	907	2.1%
Z	891	2.1%
M	806	1.9%
A	728	1.7%
Other values (15)	3222	7.5%

Other Punctuation

Value	Count	Frequency (%)
.	86	72.3%
/	33	27.7%

Space Separator

Value	Count	Frequency (%)
	1053	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	705	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	705	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	261748	99.0%
Common	2742	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	38826	14.8%
n	37694	14.4%
r	35330	13.5%
u	31075	11.9%
z	29343	11.2%
L	29133	11.1%
i	6701	2.6%
s	4861	1.9%
l	4035	1.5%
h	3744	1.4%
Other values (47)	41006	15.7%

Common

Value	Count	Frequency (%)
	1053	38.4%
(	705	25.7%
)	705	25.7%
-	160	5.8%
.	86	3.1%
/	33	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263144	99.5%
None	1346	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	38826	14.8%
n	37694	14.3%
r	35330	13.4%
u	31075	11.8%
z	29343	11.2%
L	29133	11.1%
i	6701	2.5%
s	4861	1.8%
l	4035	1.5%
h	3744	1.4%
Other values (46)	42402	16.1%

None

Value	Count	Frequency (%)
ü	1071	79.6%
ö	150	11.1%
ä	90	6.7%
è	22	1.6%
â	6	0.4%
é	6	0.4%
ê	1	0.1%

gdename_ende
Categorical

HIGH CARDINALITY

Distinct	743
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

Luzern	28050
Kriens	1780
Emmen	1424
Horw	753
Zürich	742
Other values (738)	8352

Length

Max length	26
Median length	6
Mean length	6.346098635
Min length	3

Characters and Unicode

Total characters	260831
Distinct characters	62
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	259 ?
Unique (%)	0.6%

Sample

1st row	Luzern
2nd row	Luzern
3rd row	Luzern
4th row	Luzern
5th row	Luzern

Common Values

Value	Count	Frequency (%)
Luzern	28050	68.2%
Kriens	1780	4.3%
Emmen	1424	3.5%
Horw	753	1.8%
Zürich	742	1.8%
Ebikon	676	1.6%
Meggen	427	1.0%
Adligenswil	298	0.7%
Rothenburg	223	0.5%
Malters	207	0.5%
Other values (733)	6521	15.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
luzern	28050	66.9%
kriens	1780	4.2%
emmen	1424	3.4%
horw	753	1.8%
zürich	742	1.8%
ebikon	676	1.6%
meggen	427	1.0%
adligenswil	298	0.7%
rothenburg	223	0.5%
malters	207	0.5%
Other values (745)	7372	17.6%

Most occurring characters

Value	Count	Frequency (%)
e	38517	14.8%
n	37701	14.5%
r	35187	13.5%
u	30013	11.5%
z	28447	10.9%
L	28336	10.9%
i	7494	2.9%
s	5061	1.9%
l	3572	1.4%
h	3442	1.3%
Other values (52)	43061	16.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	216025	82.8%
Uppercase Letter	42573	16.3%
Space Separator	851	0.3%
Open Punctuation	601	0.2%
Close Punctuation	601	0.2%
Dash Punctuation	97	< 0.1%
Other Punctuation	83	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	38517	17.8%
n	37701	17.5%
r	35187	16.3%
u	30013	13.9%
z	28447	13.2%
i	7494	3.5%
s	5061	2.3%
l	3572	1.7%
h	3442	1.6%
o	3402	1.6%
Other values (21)	23189	10.7%

Uppercase Letter

Value	Count	Frequency (%)
L	28336	66.6%
E	2421	5.7%
K	2097	4.9%
H	1217	2.9%
S	1209	2.8%
Z	1143	2.7%
B	1092	2.6%
M	941	2.2%
R	852	2.0%
A	767	1.8%
Other values (14)	2498	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	45	54.2%
/	37	44.6%
'	1	1.2%

Space Separator

Value	Count	Frequency (%)
	851	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	601	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	601	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	97	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	258598	99.1%
Common	2233	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	38517	14.9%
n	37701	14.6%
r	35187	13.6%
u	30013	11.6%
z	28447	11.0%
L	28336	11.0%
i	7494	2.9%
s	5061	2.0%
l	3572	1.4%
h	3442	1.3%
Other values (45)	40828	15.8%

Common

Value	Count	Frequency (%)
	851	38.1%
(	601	26.9%
)	601	26.9%
-	97	4.3%
.	45	2.0%
/	37	1.7%
'	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	259399	99.5%
None	1432	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	38517	14.8%
n	37701	14.5%
r	35187	13.6%
u	30013	11.6%
z	28447	11.0%
L	28336	10.9%
i	7494	2.9%
s	5061	2.0%
l	3572	1.4%
h	3442	1.3%
Other values (46)	41629	16.0%

None

Value	Count	Frequency (%)
ü	1217	85.0%
ä	111	7.8%
ö	83	5.8%
è	8	0.6%
é	7	0.5%
â	6	0.4%

gkats_anfang
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

1025	28158
1030	8626
1021	3266
1040	1051

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	164404
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1030
2nd row	1030
3rd row	1025
4th row	1030
5th row	1025

Common Values

Value	Count	Frequency (%)
1025	28158	68.5%
1030	8626	21.0%
1021	3266	7.9%
1040	1051	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1025	28158	68.5%
1030	8626	21.0%
1021	3266	7.9%
1040	1051	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	50778	30.9%
1	44367	27.0%
2	31424	19.1%
5	28158	17.1%
3	8626	5.2%
4	1051	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164404	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	50778	30.9%
1	44367	27.0%
2	31424	19.1%
5	28158	17.1%
3	8626	5.2%
4	1051	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	164404	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	50778	30.9%
1	44367	27.0%
2	31424	19.1%
5	28158	17.1%
3	8626	5.2%
4	1051	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164404	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	50778	30.9%
1	44367	27.0%
2	31424	19.1%
5	28158	17.1%
3	8626	5.2%
4	1051	0.6%

gkats_ende
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

1025	28909
1030	8908
1021	2368
1040	916

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	164404
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1030
2nd row	1025
3rd row	1025
4th row	1030
5th row	1025

Common Values

Value	Count	Frequency (%)
1025	28909	70.3%
1030	8908	21.7%
1021	2368	5.8%
1040	916	2.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1025	28909	70.3%
1030	8908	21.7%
1021	2368	5.8%
1040	916	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	50925	31.0%
1	43469	26.4%
2	31277	19.0%
5	28909	17.6%
3	8908	5.4%
4	916	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164404	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	50925	31.0%
1	43469	26.4%
2	31277	19.0%
5	28909	17.6%
3	8908	5.4%
4	916	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	164404	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	50925	31.0%
1	43469	26.4%
2	31277	19.0%
5	28909	17.6%
3	8908	5.4%
4	916	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164404	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	50925	31.0%
1	43469	26.4%
2	31277	19.0%
5	28909	17.6%
3	8908	5.4%
4	916	0.6%

gbaups_anfang
Real number (ℝ_≥0)

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8014.779129

Minimum	8011
Maximum	8023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	8011
5-th percentile	8011
Q1	8012
median	8014
Q3	8017
95-th percentile	8022
Maximum	8023
Range	12
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.480410725
Coefficient of variation (CV)	0.0004342491126
Kurtosis	-0.3065580131
Mean	8014.779129
Median Absolute Deviation (MAD)	2
Skewness	0.9315997705
Sum	329415437
Variance	12.11325881
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
8013	7285	17.7%
8011	6543	15.9%
8012	5803	14.1%
8014	5622	13.7%
8015	3899	9.5%
8022	2399	5.8%
8021	1667	4.1%
8019	1649	4.0%
8017	1474	3.6%
8018	1430	3.5%
Other values (3)	3330	8.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8011	6543	15.9%
8012	5803	14.1%
8013	7285	17.7%
8014	5622	13.7%
8015	3899	9.5%
8016	1279	3.1%
8017	1474	3.6%
8018	1430	3.5%
8019	1649	4.0%
8020	1207	2.9%

Value	Count	Frequency (%)
8023	844	2.1%
8022	2399	5.8%
8021	1667	4.1%
8020	1207	2.9%
8019	1649	4.0%
8018	1430	3.5%
8017	1474	3.6%
8016	1279	3.1%
8015	3899	9.5%
8014	5622	13.7%

gbaups_ende
Real number (ℝ_≥0)

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8015.538162

Minimum	8011
Maximum	8023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	8011
5-th percentile	8011
Q1	8012
median	8014
Q3	8019
95-th percentile	8023
Maximum	8023
Range	12
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.035196105
Coefficient of variation (CV)	0.0005034217321
Kurtosis	-0.8885738112
Mean	8015.538162
Median Absolute Deviation (MAD)	2
Skewness	0.7283602332
Sum	329446634
Variance	16.28280761
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
8013	6578	16.0%
8011	5705	13.9%
8014	5323	13.0%
8012	5048	12.3%
8023	4255	10.4%
8015	3950	9.6%
8022	2408	5.9%
8021	1660	4.0%
8016	1362	3.3%
8017	1351	3.3%
Other values (3)	3461	8.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8011	5705	13.9%
8012	5048	12.3%
8013	6578	16.0%
8014	5323	13.0%
8015	3950	9.6%
8016	1362	3.3%
8017	1351	3.3%
8018	1192	2.9%
8019	1279	3.1%
8020	990	2.4%

Value	Count	Frequency (%)
8023	4255	10.4%
8022	2408	5.9%
8021	1660	4.0%
8020	990	2.4%
8019	1279	3.1%
8018	1192	2.9%
8017	1351	3.3%
8016	1362	3.3%
8015	3950	9.6%
8014	5323	13.0%

gazwot_anfang
Real number (ℝ_≥0)

Distinct	104
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.20525048

Minimum	1
Maximum	225
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	13
95-th percentile	34
Maximum	225
Range	224
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	16.92473715
Coefficient of variation (CV)	1.386676757
Kurtosis	50.77429994
Mean	12.20525048
Median Absolute Deviation (MAD)	4
Skewness	6.054119507
Sum	501648
Variance	286.4467277
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3975	9.7%
8	3584	8.7%
6	3108	7.6%
12	2628	6.4%
7	2414	5.9%
3	2399	5.8%
10	2260	5.5%
4	2206	5.4%
9	1981	4.8%
2	1860	4.5%
Other values (94)	14686	35.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3975	9.7%
2	1860	4.5%
3	2399	5.8%
4	2206	5.4%
5	1595	3.9%
6	3108	7.6%
7	2414	5.9%
8	3584	8.7%
9	1981	4.8%
10	2260	5.5%

Value	Count	Frequency (%)
225	1	< 0.1%
220	1	< 0.1%
215	1	< 0.1%
214	2	< 0.1%
202	1	< 0.1%
186	119	0.3%
179	20	< 0.1%
160	1	< 0.1%
155	1	< 0.1%
150	4	< 0.1%

gazwot_ende
Real number (ℝ_≥0)

Distinct	107
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.26522469

Minimum	1
Maximum	258
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	9
Q3	15
95-th percentile	46
Maximum	258
Range	257
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	24.37773594
Coefficient of variation (CV)	1.596945766
Kurtosis	29.30636641
Mean	15.26522469
Median Absolute Deviation (MAD)	5
Skewness	5.029860694
Sum	627416
Variance	594.2740094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	3411	8.3%
6	3124	7.6%
1	2832	6.9%
12	2566	6.2%
7	2445	5.9%
10	2229	5.4%
3	2168	5.3%
9	2108	5.1%
4	2099	5.1%
11	1823	4.4%
Other values (97)	16296	39.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2832	6.9%
2	1665	4.1%
3	2168	5.3%
4	2099	5.1%
5	1541	3.7%
6	3124	7.6%
7	2445	5.9%
8	3411	8.3%
9	2108	5.1%
10	2229	5.4%

Value	Count	Frequency (%)
258	2	< 0.1%
202	4	< 0.1%
186	138	0.3%
179	395	1.0%
166	3	< 0.1%
160	1	< 0.1%
146	32	0.1%
145	110	0.3%
137	1	< 0.1%
134	1	< 0.1%

wazimsgroup_anfang
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

3-4	26235
5-6	7095
1-2	6717
>6	1054

Length

Max length	3
Median length	3
Mean length	2.974355855
Min length	2

Characters and Unicode

Total characters	122249
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3-4
2nd row	3-4
3rd row	3-4
4th row	1-2
5th row	1-2

Common Values

Value	Count	Frequency (%)
3-4	26235	63.8%
5-6	7095	17.3%
1-2	6717	16.3%
>6	1054	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3-4	26235	63.8%
5-6	7095	17.3%
1-2	6717	16.3%
6	1054	2.6%

Most occurring characters

Value	Count	Frequency (%)
-	40047	32.8%
3	26235	21.5%
4	26235	21.5%
6	8149	6.7%
5	7095	5.8%
1	6717	5.5%
2	6717	5.5%
>	1054	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	81148	66.4%
Dash Punctuation	40047	32.8%
Math Symbol	1054	0.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	26235	32.3%
4	26235	32.3%
6	8149	10.0%
5	7095	8.7%
1	6717	8.3%
2	6717	8.3%

Dash Punctuation

Value	Count	Frequency (%)
-	40047	100.0%

Math Symbol

Value	Count	Frequency (%)
>	1054	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	122249	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	40047	32.8%
3	26235	21.5%
4	26235	21.5%
6	8149	6.7%
5	7095	5.8%
1	6717	5.5%
2	6717	5.5%
>	1054	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	122249	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	40047	32.8%
3	26235	21.5%
4	26235	21.5%
6	8149	6.7%
5	7095	5.8%
1	6717	5.5%
2	6717	5.5%
>	1054	0.9%

wazimsgroup_ende
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

3-4	27055
1-2	7221
5-6	6037
>6	788

Length

Max length	3
Median length	3
Mean length	2.980827717
Min length	2

Characters and Unicode

Total characters	122515
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1-2
2nd row	5-6
3rd row	3-4
4th row	1-2
5th row	3-4

Common Values

Value	Count	Frequency (%)
3-4	27055	65.8%
1-2	7221	17.6%
5-6	6037	14.7%
>6	788	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3-4	27055	65.8%
1-2	7221	17.6%
5-6	6037	14.7%
6	788	1.9%

Most occurring characters

Value	Count	Frequency (%)
-	40313	32.9%
3	27055	22.1%
4	27055	22.1%
1	7221	5.9%
2	7221	5.9%
6	6825	5.6%
5	6037	4.9%
>	788	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	81414	66.5%
Dash Punctuation	40313	32.9%
Math Symbol	788	0.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	27055	33.2%
4	27055	33.2%
1	7221	8.9%
2	7221	8.9%
6	6825	8.4%
5	6037	7.4%

Dash Punctuation

Value	Count	Frequency (%)
-	40313	100.0%

Math Symbol

Value	Count	Frequency (%)
>	788	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	122515	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	40313	32.9%
3	27055	22.1%
4	27055	22.1%
1	7221	5.9%
2	7221	5.9%
6	6825	5.6%
5	6037	4.9%
>	788	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	122515	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	40313	32.9%
3	27055	22.1%
4	27055	22.1%
1	7221	5.9%
2	7221	5.9%
6	6825	5.6%
5	6037	4.9%
>	788	0.6%

wareasgroup_anfang
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

70-99	15377
100-149	11580
50-69	6181
>150	4244
<50	3719

Length

Max length	7
Median length	5
Mean length	5.279263278
Min length	3

Characters and Unicode

Total characters	216983
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	100-149
2nd row	70-99
3rd row	100-149
4th row	<50
5th row	70-99

Common Values

Value	Count	Frequency (%)
70-99	15377	37.4%
100-149	11580	28.2%
50-69	6181	15.0%
>150	4244	10.3%
<50	3719	9.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
70-99	15377	37.4%
100-149	11580	28.2%
50-69	6181	15.0%
150	4244	10.3%
50	3719	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	52681	24.3%
9	48515	22.4%
-	33138	15.3%
1	27404	12.6%
7	15377	7.1%
5	14144	6.5%
4	11580	5.3%
6	6181	2.8%
>	4244	2.0%
<	3719	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	175882	81.1%
Dash Punctuation	33138	15.3%
Math Symbol	7963	3.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	52681	30.0%
9	48515	27.6%
1	27404	15.6%
7	15377	8.7%
5	14144	8.0%
4	11580	6.6%
6	6181	3.5%

Math Symbol

Value	Count	Frequency (%)
>	4244	53.3%
<	3719	46.7%

Dash Punctuation

Value	Count	Frequency (%)
-	33138	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	216983	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	52681	24.3%
9	48515	22.4%
-	33138	15.3%
1	27404	12.6%
7	15377	7.1%
5	14144	6.5%
4	11580	5.3%
6	6181	2.8%
>	4244	2.0%
<	3719	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	216983	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	52681	24.3%
9	48515	22.4%
-	33138	15.3%
1	27404	12.6%
7	15377	7.1%
5	14144	6.5%
4	11580	5.3%
6	6181	2.8%
>	4244	2.0%
<	3719	1.7%

wareasgroup_ende
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

70-99	15304
100-149	12404
50-69	6401
>150	3513
<50	3479

Length

Max length	7
Median length	5
Mean length	5.34882363
Min length	3

Characters and Unicode

Total characters	219842
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	50-69
2nd row	100-149
3rd row	100-149
4th row	50-69
5th row	100-149

Common Values

Value	Count	Frequency (%)
70-99	15304	37.2%
100-149	12404	30.2%
50-69	6401	15.6%
>150	3513	8.5%
<50	3479	8.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
70-99	15304	37.2%
100-149	12404	30.2%
50-69	6401	15.6%
150	3513	8.5%
50	3479	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	53505	24.3%
9	49413	22.5%
-	34109	15.5%
1	28321	12.9%
7	15304	7.0%
5	13393	6.1%
4	12404	5.6%
6	6401	2.9%
>	3513	1.6%
<	3479	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	178741	81.3%
Dash Punctuation	34109	15.5%
Math Symbol	6992	3.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	53505	29.9%
9	49413	27.6%
1	28321	15.8%
7	15304	8.6%
5	13393	7.5%
4	12404	6.9%
6	6401	3.6%

Math Symbol

Value	Count	Frequency (%)
>	3513	50.2%
<	3479	49.8%

Dash Punctuation

Value	Count	Frequency (%)
-	34109	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	219842	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	53505	24.3%
9	49413	22.5%
-	34109	15.5%
1	28321	12.9%
7	15304	7.0%
5	13393	6.1%
4	12404	5.6%
6	6401	2.9%
>	3513	1.6%
<	3479	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219842	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	53505	24.3%
9	49413	22.5%
-	34109	15.5%
1	28321	12.9%
7	15304	7.0%
5	13393	6.1%
4	12404	5.6%
6	6401	2.9%
>	3513	1.6%
<	3479	1.6%

hectarcoords_anfang
Categorical

HIGH CARDINALITY

Distinct	8146
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

POINT(2665800 1210400)	300
POINT(2665900 1209300)	230
POINT(2665800 1210500)	206
POINT(2665800 1210900)	201
POINT(2666100 1211000)	187
Other values (8141)	39977

Length

Max length	22
Median length	22
Mean length	22
Min length	22

Characters and Unicode

Total characters	904222
Distinct characters	18
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4858 ?
Unique (%)	11.8%

Sample

1st row	POINT(2665900 1211000)
2nd row	POINT(2665400 1211900)
3rd row	POINT(2666800 1210200)
4th row	POINT(2665600 1211300)
5th row	POINT(2668500 1212100)

Common Values

Value	Count	Frequency (%)
POINT(2665800 1210400)	300	0.7%
POINT(2665900 1209300)	230	0.6%
POINT(2665800 1210500)	206	0.5%
POINT(2665800 1210900)	201	0.5%
POINT(2666100 1211000)	187	0.5%
POINT(2665900 1210900)	183	0.4%
POINT(2665500 1211100)	176	0.4%
POINT(2666000 1211000)	174	0.4%
POINT(2666300 1210500)	168	0.4%
POINT(2666000 1210700)	163	0.4%
Other values (8136)	39113	95.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
point(2666000	1898	2.3%
point(2666100	1683	2.0%
point(2665900	1626	2.0%
point(2665800	1535	1.9%
1211600	1374	1.7%
1211800	1292	1.6%
1212000	1202	1.5%
1211700	1157	1.4%
1210500	1123	1.4%
point(2665700	1115	1.4%
Other values (2710)	68197	83.0%

Most occurring characters

Value	Count	Frequency (%)
0	188850	20.9%
2	101397	11.2%
6	93626	10.4%
1	93493	10.3%
P	41101	4.5%
I	41101	4.5%
N	41101	4.5%
T	41101	4.5%
(	41101	4.5%
O	41101	4.5%
Other values (8)	180250	19.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	575414	63.6%
Uppercase Letter	205505	22.7%
Open Punctuation	41101	4.5%
Space Separator	41101	4.5%
Close Punctuation	41101	4.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	188850	32.8%
2	101397	17.6%
6	93626	16.3%
1	93493	16.2%
5	21239	3.7%
4	16535	2.9%
9	16179	2.8%
3	15665	2.7%
7	15451	2.7%
8	12979	2.3%

Uppercase Letter

Value	Count	Frequency (%)
P	41101	20.0%
I	41101	20.0%
N	41101	20.0%
T	41101	20.0%
O	41101	20.0%

Open Punctuation

Value	Count	Frequency (%)
(	41101	100.0%

Space Separator

Value	Count	Frequency (%)
	41101	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	41101	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	698717	77.3%
Latin	205505	22.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	188850	27.0%
2	101397	14.5%
6	93626	13.4%
1	93493	13.4%
(	41101	5.9%
	41101	5.9%
)	41101	5.9%
5	21239	3.0%
4	16535	2.4%
9	16179	2.3%
Other values (3)	44095	6.3%

Latin

Value	Count	Frequency (%)
P	41101	20.0%
I	41101	20.0%
N	41101	20.0%
T	41101	20.0%
O	41101	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	904222	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	188850	20.9%
2	101397	11.2%
6	93626	10.4%
1	93493	10.3%
P	41101	4.5%
I	41101	4.5%
N	41101	4.5%
T	41101	4.5%
(	41101	4.5%
O	41101	4.5%
Other values (8)	180250	19.9%

hectarcoords_ende
Categorical

HIGH CARDINALITY

Distinct	6823
Distinct (%)	16.6%
Missing	0
Missing (%)	0.0%
Memory size	321.2 KiB

POINT(2665900 1210600)	399
POINT(2662600 1211100)	258
POINT(2665900 1209300)	248
POINT(2665800 1210400)	246
POINT(2666300 1210500)	239
Other values (6818)	39711

Length

Max length	22
Median length	22
Mean length	22
Min length	22

Characters and Unicode

Total characters	904222
Distinct characters	18
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3364 ?
Unique (%)	8.2%

Sample

1st row	POINT(2665900 1211000)
2nd row	POINT(2665400 1211900)
3rd row	POINT(2666800 1210200)
4th row	POINT(2665600 1211300)
5th row	POINT(2668500 1212100)

Common Values

Value	Count	Frequency (%)
POINT(2665900 1210600)	399	1.0%
POINT(2662600 1211100)	258	0.6%
POINT(2665900 1209300)	248	0.6%
POINT(2665800 1210400)	246	0.6%
POINT(2666300 1210500)	239	0.6%
POINT(2666700 1210600)	235	0.6%
POINT(2666000 1210700)	194	0.5%
POINT(2666100 1212400)	171	0.4%
POINT(2666100 1211000)	169	0.4%
POINT(2665800 1210900)	163	0.4%
Other values (6813)	38779	94.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
point(2665900	1869	2.3%
point(2666000	1845	2.2%
point(2666100	1640	2.0%
1211600	1287	1.6%
point(2665800	1268	1.5%
1210600	1178	1.4%
1211800	1177	1.4%
1210500	1166	1.4%
point(2665700	1095	1.3%
1212100	1056	1.3%
Other values (2310)	68621	83.5%

Most occurring characters

Value	Count	Frequency (%)
0	189520	21.0%
2	101372	11.2%
6	94535	10.5%
1	92781	10.3%
P	41101	4.5%
)	41101	4.5%
I	41101	4.5%
N	41101	4.5%
T	41101	4.5%
(	41101	4.5%
Other values (8)	179408	19.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	575414	63.6%
Uppercase Letter	205505	22.7%
Close Punctuation	41101	4.5%
Open Punctuation	41101	4.5%
Space Separator	41101	4.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	189520	32.9%
2	101372	17.6%
6	94535	16.4%
1	92781	16.1%
5	20790	3.6%
9	16773	2.9%
4	16092	2.8%
7	15643	2.7%
3	14936	2.6%
8	12972	2.3%

Uppercase Letter

Value	Count	Frequency (%)
P	41101	20.0%
I	41101	20.0%
N	41101	20.0%
T	41101	20.0%
O	41101	20.0%

Close Punctuation

Value	Count	Frequency (%)
)	41101	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	41101	100.0%

Space Separator

Value	Count	Frequency (%)
	41101	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	698717	77.3%
Latin	205505	22.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	189520	27.1%
2	101372	14.5%
6	94535	13.5%
1	92781	13.3%
)	41101	5.9%
(	41101	5.9%
	41101	5.9%
5	20790	3.0%
9	16773	2.4%
4	16092	2.3%
Other values (3)	43551	6.2%

Latin

Value	Count	Frequency (%)
P	41101	20.0%
I	41101	20.0%
N	41101	20.0%
T	41101	20.0%
O	41101	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	904222	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	189520	21.0%
2	101372	11.2%
6	94535	10.5%
1	92781	10.3%
P	41101	4.5%
)	41101	4.5%
I	41101	4.5%
N	41101	4.5%
T	41101	4.5%
(	41101	4.5%
Other values (8)	179408	19.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	rjhr	persnr	sex_anfang	sex_end	maritalstatus_anfang	maritalstatus_ende	agegroup_anfang	agegroup_ende	nationalitygroup_anfang	nationalitygroup_ende	gdekt_anfang	gdekt_ende	gdektnr_anfang	gdektnr_ende	gdenr_anfang	gdenr_ende	gdename_anfang	gdename_ende	gkats_anfang	gkats_ende	gbaups_anfang	gbaups_ende	gazwot_anfang	gazwot_ende	wazimsgroup_anfang	wazimsgroup_ende	wareasgroup_anfang	wareasgroup_ende	hectarcoords_anfang	hectarcoords_ende
0	2018	1282891	1	1	4	4	50	50	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1030	1030	8016	8016	24	24	3-4	1-2	100-149	50-69	POINT(2665900 1211000)	POINT(2665900 1211000)
1	2018	5793148	2	2	1	1	7	8	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1030	1025	8021	8021	5	5	3-4	5-6	70-99	100-149	POINT(2665400 1211900)	POINT(2665400 1211900)
2	2018	1220949	1	1	1	1	3	4	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1025	1025	8022	8022	9	9	3-4	3-4	100-149	100-149	POINT(2666800 1210200)	POINT(2666800 1210200)
3	2018	6325643	1	1	1	1	25	30	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1030	1030	8011	8011	5	5	1-2	1-2	<50	50-69	POINT(2665600 1211300)	POINT(2665600 1211300)
4	2018	1902613	1	1	1	1	25	25	Central Europe	Central Europe	LU	LU	3	3	1061	1061	Luzern	Luzern	1025	1025	8020	8020	4	3	1-2	3-4	70-99	100-149	POINT(2668500 1212100)	POINT(2668500 1212100)
5	2018	7696328	1	1	1	1	9	10	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1025	1025	8020	8020	14	19	5-6	5-6	>150	100-149	POINT(2666700 1210600)	POINT(2666700 1210600)
6	2018	1183175	1	1	1	1	6	7	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1025	1025	8022	8022	9	9	3-4	3-4	100-149	100-149	POINT(2666800 1210200)	POINT(2666800 1210200)
7	2018	3987918	2	2	1	1	35	35	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1030	1040	8012	8011	1	2	1-2	1-2	100-149	100-149	POINT(2665500 1211000)	POINT(2665500 1211000)
8	2018	2234972	1	1	1	1	30	30	Switzerland	Switzerland	LU	LU	3	3	1061	1061	Luzern	Luzern	1025	1025	8020	8020	4	4	1-2	3-4	50-69	100-149	POINT(2668700 1212100)	POINT(2668700 1212100)
9	2018	2125364	2	2	1	1	4	5	Central Europe	Central Europe	LU	LU	3	3	1061	1061	Luzern	Luzern	1025	1021	8020	8020	4	1	3-4	5-6	100-149	>150	POINT(2668700 1212100)	POINT(2668700 1212100)

Last rows

	rjhr	persnr	umzugsdist	sex_anfang	sex_end	maritalstatus_anfang	maritalstatus_ende	agegroup_anfang	agegroup_ende	nationalitygroup_anfang	nationalitygroup_ende	gdekt_anfang	gdekt_ende	gdektnr_anfang	gdektnr_ende	gdenr_anfang	gdenr_ende	gdename_anfang	gdename_ende	gkats_anfang	gkats_ende	gbaups_anfang	gbaups_ende	gazwot_anfang	gazwot_ende	wazimsgroup_anfang	wazimsgroup_ende	wareasgroup_anfang	wareasgroup_ende	hectarcoords_anfang	hectarcoords_ende
41091	2020	6881140	190851	2	2	2	2	30	30	Switzerland	Switzerland	LU	GE	3	25	1061	6621	Luzern	Genève	1025	1030	8014	8012	3	22	5-6	3-4	100-149	50-69	POINT(2666700 1212400)	POINT(2500300 1119000)
41092	2020	457856	191191	2	2	1	1	30	30	Switzerland	Switzerland	GE	LU	25	3	6621	1061	Genève	Luzern	1030	1030	8012	8011	23	11	3-4	3-4	70-99	50-69	POINT(2499700 1116600)	POINT(2666000 1210900)
41093	2020	2318622	192012	1	1	2	2	55	55	Western Europe	Western Europe	GE	LU	25	3	6621	1061	Genève	Luzern	1030	1025	8014	8015	37	3	1-2	5-6	70-99	>150	POINT(2501400 1116600)	POINT(2668000 1212100)
41094	2020	3895680	192012	2	2	2	2	55	55	Western Europe	Western Europe	GE	LU	25	3	6621	1061	Genève	Luzern	1030	1025	8014	8015	37	3	1-2	5-6	70-99	>150	POINT(2501400 1116600)	POINT(2668000 1212100)
41095	2020	3120496	193047	1	1	1	1	25	30	Southern Europe	Southern Europe	GE	LU	25	3	6631	1061	Onex	Luzern	1025	1025	8015	8022	16	7	1-2	1-2	<50	<50	POINT(2496900 1116100)	POINT(2663900 1213000)
41096	2020	3268754	193214	1	1	1	1	10	10	Other	Switzerland	GE	LU	25	3	6631	1061	Onex	Luzern	1025	1025	8014	8013	54	9	1-2	3-4	<50	70-99	POINT(2496700 1116200)	POINT(2664300 1212300)
41097	2020	5586827	193214	1	1	4	4	40	40	Other	Other	GE	LU	25	3	6631	1061	Onex	Luzern	1025	1025	8014	8013	54	9	1-2	3-4	<50	70-99	POINT(2496700 1116200)	POINT(2664300 1212300)
41098	2020	4110539	194298	1	1	2	2	25	25	Southeastern Europe	Southeastern Europe	GE	LU	25	3	6621	1061	Genève	Luzern	1030	1025	8013	8023	51	30	3-4	3-4	100-149	50-69	POINT(2498900 1118100)	POINT(2669100 1211900)
41099	2020	1415366	195104	2	2	6	6	70	70	Switzerland	Switzerland	GE	LU	25	3	6633	1061	Plan-les-Ouates	Luzern	1021	1030	8016	8014	1	81	3-4	3-4	100-149	100-149	POINT(2497700 1114000)	POINT(2667600 1209900)
41100	2020	1944755	195104	2	2	6	6	65	65	Switzerland	Switzerland	GE	LU	25	3	6633	1061	Plan-les-Ouates	Luzern	1021	1030	8016	8014	1	81	3-4	3-4	100-149	100-149	POINT(2497700 1114000)	POINT(2667600 1209900)

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts